18-Mar-2024, 15:38:25
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Traditional ML algorithm Performance
Dataset Size = 100
c term coefficient = 0.0239089862436366
bv term coefficient = 5.2693190500035865
ang term coefficient = 0.07720783898699168
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Training set
Set size = 60
R2 = 0.879
MAE = 0.130
RMSE = 0.175
Mean Bias Error = 0.000
Mean Absolute Percentage Error = 0.043
Error Standard Deviation = 0.175
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Validation set
Set size = 20
R2 = 0.930
MAE = 0.115
RMSE = 0.160
Mean Bias Error = 0.013
Mean Absolute Percentage Error = 0.052
Error Standard Deviation = 0.159
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Test set
Set size = 20
R2 = 0.851
MAE = 0.125
RMSE = 0.163
Mean Bias Error = 0.002
Mean Absolute Percentage Error = 0.041
Error Standard Deviation = 0.163
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OUTLIERS (TEST SET)
